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Open AccessArticle

Sensor Fusion and State Estimation of IoT Enabled Wind Energy Conversion System

1
School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland
2
Nimbus Centre, Cork Institute of Technology, T12 P928 Cork, Ireland
3
Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
4
School of Automation, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1566; https://doi.org/10.3390/s19071566
Received: 31 January 2019 / Revised: 21 March 2019 / Accepted: 26 March 2019 / Published: 1 April 2019
(This article belongs to the Special Issue Advanced Technologies on Green Radio Networks)
The use of renewable energy has increased dramatically over the past couple of decades. Wind farms, consisting of wind turbines, play a vital role in the generation of renewable energy. For monitoring and maintenance purposes, a wind turbine has a variety of sensors to measure the state of the turbine. Sensor measurements are transmitted to a control center, which is located away from the wind farm, for monitoring and maintenance purposes. It is therefore desirable to ensure reliable wireless communication between the wind turbines and the control center while integrating the observations from different sensors. In this paper, we propose an IoT based communication framework for the purpose of reliable communication between wind turbines and control center. The communication framework is based on repeat-accumulate coded communication to enhance reliability. A fusion algorithm is proposed to exploit the observations from multiple sensors while taking into consideration the unpredictable nature of the wireless channel. The numerical results show that the proposed scheme can closely predict the state of a wind turbine. We also show that the proposed scheme significantly outperforms traditional estimation schemes. View Full-Text
Keywords: Wind energy; Sensor fusion; State estimation; Internet of Things (IoT); Renewable energy Wind energy; Sensor fusion; State estimation; Internet of Things (IoT); Renewable energy
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MDPI and ACS Style

Noor-A-Rahim, M.; Khyam, M.O.; Li, X.; Pesch, D. Sensor Fusion and State Estimation of IoT Enabled Wind Energy Conversion System. Sensors 2019, 19, 1566.

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